Job Description
We are building the technological infrastructure for the year 2026 and beyond. Nexus Horizon Technologies is seeking a visionary Lead AI Systems Architect to spearhead the development of next-generation neural networks and autonomous infrastructure. If you are passionate about pushing the boundaries of what is possible in machine learning and cloud scalability, we want to hear from you.
In this role, you will define the architectural roadmap for our flagship AI products, ensuring they are robust, scalable, and future-proof. You will work in a high-performance environment that values innovation, creativity, and technical excellence.
Responsibilities
- Architectural Design: Design and implement scalable, high-performance AI systems and neural architectures for enterprise-grade applications.
- Strategic Leadership: Lead a team of elite engineers and data scientists to drive R&D initiatives focused on 2026 technology trends.
- System Optimization: Oversee the deployment and optimization of machine learning models on distributed cloud infrastructure to ensure minimal latency and maximum throughput.
- Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable development plans.
- Future-Proofing: Evaluate emerging technologies (e.g., Quantum Computing integration, Edge AI) and integrate them into our core systems.
Qualifications
- Experience: Minimum of 10 years of experience in software engineering, with at least 5 years in AI/ML architecture and system design.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Docker).
- Cloud Expertise: Deep understanding of AWS, Azure, or Google Cloud Platform (GCP) architecture.
- Problem Solving: Proven track record of solving complex, large-scale technical challenges.